4 papers
Privacy-Preserving Semantic Segmentation from High-Resolution Depth and Ultra-Low-Resolution RGB
Xuying Huang, Swithinraj Moses Daniel, Sicong Pan +2
As mobile robots become increasingly integrated into everyday environments, privacy risks arising from onboard cameras have become a growing concern. Ultra-low-resolution (ULR) RGB…
Are Learning-Based Approaches Ready for Real-World Indoor Navigation? A Case for Imitation Learning
Nigitha Selvaraj, Alex Mitrevski, Sebastian Houben
Traditional indoor robot navigation methods provide a reliable solution when adapted to constrained scenarios, but lack flexibility or require manual re-tuning when deployed in mor…
End-to-End Multi-Task Policy Learning from NMPC for Quadruped Locomotion
Anudeep Sajja, Shahram Khorshidi, Sebastian Houben +1
Quadruped robots excel in traversing complex, unstructured environments where wheeled robots often fail. However, enabling efficient and adaptable locomotion remains challenging du…
GO-VMP: Global Optimization for View Motion Planning in Fruit Mapping
Allen Isaac Jose, Sicong Pan, Tobias Zaenker +3
Automating labor-intensive tasks such as crop monitoring with robots is essential for enhancing production and conserving resources. However, autonomously monitoring horticulture c…